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wooldridge
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2 | 1 | |
599 | 190 | |
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9.6 | 3.6 | |
7 days ago | 12 months ago | |
C | R | |
GNU General Public License v3.0 or later | - |
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is there a package using data.table that provides functions for descriptive stats, missingness etc?
The ask is a little unclear. You might be interested in collapse and more generally in other packages in the fastverse. I guess it's also worth pointing out that data.table already provides alternative methods for certain base R descriptive stats functions (e.g., mean, etc.) that are automatically used when applied to datatables.
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Benchmarking for loops vs apply and others
If you are looking for performance I would recommend to check the collapse package. The following line "collapse" = collapse::fsum(df_datatable$x, g=df_datatable$g) is around 2x faster than base::rowsum, and the dplyr style syntax doesn't add that much of an overhead "collapse dplyr" = df_datatable |> fgroup_by(g) |> fsum(x)
wooldridge
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Best way to learn applied econometrics?
Here is the repo for all the datasets used in the book: https://github.com/JustinMShea/wooldridge
What are some alternatives?
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